Adolescent Literacy and the Achievement Gap: What Do We Know and Where Do We Go From Here?

Reviews research and program initiatives focused on improving adolescent academic achievement by targeting literacy. Provides ideas for collaboration and coordination of funding efforts to improve the literacy achievement of under-performing adolescents

Building Stronger Nonprofits Through Better Financial Management: Early Efforts in 26 Youth-Serving Organizations

Outlines the Financial Management in Out-of-School Time initiative to improve nonprofits' long-term financial management capacity and reform funding practices that weaken it, challenges participating nonprofits faced, progress to date, and early lessons

Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference

In modern computer science education, massive open online courses (MOOCs) log thousands of hours of data about how students solve coding challenges. Being so rich in data, these platforms have garnered the interest of the machine learning community, with many new algorithms attempting to autonomously provide feedback to help future students learn. But what about those first hundred thousand students? In most educational contexts (i.e. classrooms), assignments do not have enough historical data for supervised learning. In this paper, we introduce a human-in-the-loop "rubric sampling" approach to tackle the "zero shot" feedback challenge. We are able to provide autonomous feedback for the first students working on an introductory programming assignment with accuracy that substantially outperforms data-hungry algorithms and approaches human level fidelity. Rubric sampling requires minimal teacher effort, can associate feedback with specific parts of a student's solution and can articulate a student's misconceptions in the language of the instructor. Deep learning inference enables rubric sampling to further improve as more assignment specific student data is acquired. We demonstrate our results on a novel dataset from Code.org, the world's largest programming education platform.Comment: To appear at AAAI 2019; 9 page

Building Stronger Nonprofits Through Better Financial Management

The Wallace Foundation's four-year Strengthening Financial Management in Out-of-School Time initiative(SFM) was designed to improve the financial management systems of 26 well-respected Chicago nonprofits that provide out-of-school-time (OST) services. SFM grew out of the Foundation's longstanding commitment to improving the quality of services for youth during nonschool hours and the realization that even successful nonprofits face financial management challenges that have an impact on their ability to achieve their missions. To address these challenges, the initiative is working to reform public and private funding practices that strain OST organizations' financial management capacity and providing participating organizations with financial management training and peer networking opportunities (using one of two models that vary in intensity and in the balance of individual vs. group-based training and support)

Learning Effective Changes for Software Projects

The primary motivation of much of software analytics is decision making. How to make these decisions? Should one make decisions based on lessons that arise from within a particular project? Or should one generate these decisions from across multiple projects? This work is an attempt to answer these questions. Our work was motivated by a realization that much of the current generation software analytics tools focus primarily on prediction. Indeed prediction is a useful task, but it is usually followed by "planning" about what actions need to be taken. This research seeks to address the planning task by seeking methods that support actionable analytics that offer clear guidance on what to do. Specifically, we propose XTREE and BELLTREE algorithms for generating a set of actionable plans within and across projects. Each of these plans, if followed will improve the quality of the software project.Comment: 4 pages, 2 figures. This a submission for ASE 2017 Doctoral Symposiu

Allocating Resources and Creating Incentives to Improve Teaching and Learning

Offers insights from scholarly literature, related theory, and practical activities to inform the efforts of policymakers, researchers and practitioners to allocate resources and create incentives that result in powerful, equitable learning for all